41 research outputs found

    Um sistema programavel de aquisição de dados meteorologicos

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    Orientador : Nelson Castro MachadoDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matematica, Estatistica e Ciencia da ComputaçãoResumo: O presente trabalho descreve o projeto e implementação do software de um sistema programável para aquisição de dados meteorológicos. O sistema consiste de uma estação base e uma estação de campo. Na estação base o meteorologista utiliza um microcomputador convencional e dispõe de uma linguagem para aquisição de dados meteorológicos (LADAN), através do qual pode programar seus experimentos. A interface da estaca base com a estação de campo é feita através de um cartucho de memória RAM CMOS com um sistema de "back-up" de bateria, formando um sistema não volátil. O conteúdo inicial do cartucho é o código intermediário correspondente ao experimento programado. A estação de campo possui um interpretador que é capaz de executar os experimentos programados na estação base de acordo com o conteúdo do cartucho, gravando os dados coletados no próprio cartucho. Após encerrada a coleta de dados, o cartucho é novamente levado à estação base onde os dados são transferidos para arquivos em discos, a partir dos quais o usuário poderá analisa-los utilizando pacotes comerciais ou programas de aplicação em qualquer linguagem de alto-nívelAbstract: This work describes the software design and implementation of a Meteorological Data Acquisition System. The system consists of a base station and a remote station. In the base station, the meteorologist uses a conventional microcomputer and is provided with a Meteorological Data Acquisition language (LADAM), which enables him to program the desired experiments. The interface between the base station and the remote station is accomplished with a RAM CMOS cartridge with battery back-up, which constitutes a non-volatile system. The initial cartridge contents is an intermediate code corresponding to the programmed experiment. The remote station has an interpreter which is able to execute the experiments programmed in the base station, according to the contents of the cartridge. When the data collection is collection is completed, the cartridge is brought back to the base station, where the data is transferred to disk files. These serve as input to program packages or custom written programs in any high level language which performs the data analysisMestradoMestre em Ciência da Computaçã

    Inter-organizational negotiation of web-services

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    The web service technology allows organizations to interact through business processes. \ud However, organizations involved in cooperative business processes have different interests \ud and points of view. A negotiation allows them to discuss their interests and requirements in \ud order to reach an acceptable agreement. We propose an integrated web service negotiation \ud process that takes into account human interaction and the use of different negotiation \ud protocols. It focuses on the application of feature modelling to describe the negotiated \ud services. Our contributions include: (i) the definition of a negotiation process; (ii) the \ud definition of a conceptual model to support the negotiation of web services; (iii) reuse of \ud artefacts generated throughout the negotiation process; (iv) coverage of critical elements in \ud the negotiation of electronic contracts, such as role, properties of electronic services and \ud contract models; and (v) exploration of the process in different application scenario

    O Estabelecimento de Contratos Eletrônicos com o Ambiente FeatureContract

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    Contratos eletrônicos descrevem termos relacionados a processos denegócio usados para o consumo e o fornecimento de servicos Web. Modelos de características são usados para explorar propriedades comuns e variabilidades no contexto de linha de produto de software. Contudo, modelos de características também podem ser aplicados no estabelecimento de contratos eletrônicos visando o reuso e a melhor estruturacão de suas secões, incluindo os atributos de qualidade de serviço (QoS). O ambiente FeatureContract oferece apoio automatizado a elaboracao de moldes e instâncias de contratos eletrônicos usando modelos de características em conjunto com as linguagens WSDL, WS-Agreement e WS-BPEL

    Discovering interesting knowledge from a science & technology database with a genetic algorithm

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    Data mining consists of extracting interesting knowledge from data. This paper addresses the discovery of knowledge in the form of prediction IF-THEN rules, which are a popular form of knowledge representation in data mining. In this context, we propose a genetic algorithm (GA) designed specifically to discover interesting fuzzy prediction rules. The GA searches for prediction rules that are interesting in the sense of being new and surprising for the user. This is done adapting a technique little exploited in the literature, which is based on user-defined general impressions (subjective knowledge). More precisely, a prediction rule is considered interesting (or surprising) to the extent that it represents knowledge that not only was previously unknown by the user but also contradicts his original believes. In addition, the use of fuzzy logic helps to improve the comprehensibility of the rules discovered by the GA. This is due to the use of linguistic terms that are natural for the user. A prototype was implemented and applied to a real-world science & technology database, containing data about the scientific production of researchers. The GA implemented in this prototype was evaluated by comparing it with the J4.8 algorithm, a variant of the well-known C4.5 algorithm. Experiments were carried out to evaluate both the predictive accuracy and the degree of interestingness (or surprisingness) of the rules discovered by both algorithms. The predictive accuracy obtained by the proposed GA was similar to the one obtained by J4.8, but the former, in general, discovered rules with fewer conditions. In addition it works with natural linguistic terms, which leads to the discovery of more comprehensible knowledge. The rules discovered by the proposed GA and the best rules discovered by J4.8 were shown to a user (a University Director) in an interview who evaluated the degree of interestingness (surprisingness) of the rules to him. In general the user considered the rules discovered by the GA much more interesting than the rules discovered by J4.8
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